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Impact of population movement on the spread of 2019-nCoV in China.
Zhang, Chi; Chen, Cai; Shen, Wei; Tang, Feng; Lei, Hao; Xie, Yu; Cao, Zicheng; Tang, Kang; Bai, Junbo; Xiao, Lehan; Xu, Yutian; Song, Yanxin; Chen, Jiwei; Guo, Zhihui; Guo, Yichen; Wang, Xiao; Xu, Modi; Zou, Huachun; Shu, Yuelong; Du, Xiangjun.
  • Zhang C; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Chen C; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Shen W; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Tang F; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Lei H; School of Public Health, Zhejiang University, Hangzhou, People's Republic of China.
  • Xie Y; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Cao Z; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Tang K; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Bai J; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Xiao L; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Xu Y; School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Song Y; Lingnan College, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Chen J; School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Guo Z; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Guo Y; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Wang X; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Xu M; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Zou H; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Shu Y; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Du X; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, People's Republic of China.
Emerg Microbes Infect ; 9(1): 988-990, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-102084
ABSTRACT
Since Dec 2019, China has experienced an outbreak caused by a novel coronavirus, 2019-nCoV. A travel ban was implemented for Wuhan, Hubei on Jan 23 to slow down the outbreak. We found a significant positive correlation between population influx from Wuhan and confirmed cases in other cities across China (R2 = 0.85, P < 0.001), especially cities in Hubei (R2 = 0.88, P < 0.001). Removing the travel restriction would have increased 118% (91%-172%) of the overall cases for the coming week, and a travel ban taken three days or a week earlier would have reduced 47% (26%-58%) and 83% (78%-89%) of the early cases. We would expect a 61% (48%-92%) increase of overall cumulative cases without any restrictions on returning residents, and 11% (8%-16%) increase if the travel ban stays in place for Hubei. Cities from Yangtze River Delta, Pearl River Delta, and Capital Economic Circle regions are at higher risk.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Travel / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Emerg Microbes Infect Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Travel / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Emerg Microbes Infect Year: 2020 Document Type: Article